{"id":"W2147448256","doi":"10.1128/aem.69.2.769-778.2003","title":"Monitoring Gene Expression in Mixed Microbial Communities by Using DNA Microarrays","year":2003,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"University of Toronto; University Health Network","keywords":"DNA microarray; Gene; Biology; Gene expression; Bacteria; Microarray; Activated sludge; Microbiology; DNA; Molecular biology; Biochemistry; Genetics; Sewage treatment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004733787,0.0004639825,0.0005271223,0.0003518437,0.0001883893,0.0005147468,0.0003368333,0.0005416984,0.0003951677],"category_scores_gemma":[0.0004608911,0.0002749562,0.0002598258,0.0003887118,0.0001896174,0.0003225632,0.0002836009,0.0005157292,0.0004034187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870942,"about_ca_system_score_gemma":0.000166034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179865,"about_ca_topic_score_gemma":0.0004830186,"domain_scores_codex":[0.9992848,0.0001525987,0.0000254568,0.000251567,0.000218009,0.00006755516],"domain_scores_gemma":[0.9996547,0.000142519,0.00005639355,0.0000230119,0.0000772417,0.00004627752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004452551,0.000007674049,0.0002313482,0.00001955905,0.000003778148,0.000005322669,0.000005808852,0.00007867938,0.9984868,0.00002156173,0.00001417593,0.001080727],"study_design_scores_gemma":[0.000007845961,0.000178025,0.001733019,0.000003180256,0.00001495478,0.00004627654,0.00002191092,0.003004049,0.9936039,0.0000923174,0.001286188,0.000008426459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917096,0.00208225,0.1018962,0.0002675706,0.0000910859,0.0001605095,0.002010918,0.0006127311,0.001169087],"genre_scores_gemma":[0.7899052,0.00239169,0.1973807,0.000363851,0.00006846785,0.0009870485,0.003907751,0.00007369124,0.004921692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005416984,"threshold_uncertainty_score":0.002808511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009711069567190962,"score_gpt":0.2018704260397436,"score_spread":0.1921593564725526,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}